Method And Apparatus For Ultrasonic Bonding

ABSTRACT

A method for quality control during ultrasonic bonding, in which a transducer bonding tool unit and an ultrasonic generator are used and in which, during the bonding, one or more sensors are used to sense measurement signals for one or more parameters, which can vary during the bonding, for assessing the bond quality and/or for influencing the bonding, and which proposes that, during the bonding, at least one speed profile measurement signal representing the time/speed profile of the tip of the ultrasonic tool in the direction of oscillation thereof be sensed. The invention also relates to a bonding apparatus which is suitable for carrying out the method. Furthermore, the invention relates to other quality control methods for ultrasonic bonding and to bonding apparatuses which are suitable for carrying out these methods.

CROSS-REFERENCE TO RELATED APPLICATIONS

The present application is a continuation of pending International patent application PCT/EP2008/065101 filed on Nov. 7, 2008, which designates the United States and claims priority from German patent application number 10 2007 054 626.4 filed on Nov. 12, 2007, the content of which is incorporated herein by reference.

FIELD OF THE INVENTION

The invention relates to methods for the production and quality control of bonded connections, in particular wire bonded connections, by means of ultrasound, and to components suitable for carrying out these methods as well as to bonding apparatuses equipped with components of this kind, in particular wire bonders. To this extent, the invention also relates in particular to wedge-wedge bonding. The overall aim of the invention is in particular that of improved productivity and improved reliability of the quality control in comparison with conventional techniques.

BACKGROUND OF THE INVENTION

Wedge-wedge bonding is a generally recognized and reliable technique for establishing electrical contact between a chip and a substrate. It is used both in power electronics and in microelectronics. To monitor the quality of the bonding process, a specific percentage of the products are taken during the course of production and subjected to a destructive test, and the quality of the overall production batch is assessed by means of statistical methods.

The desire for further quality control, in particular in areas where safety is an issue, has led to the development in recent years of several methods that allow in-line monitoring to be performed in addition to the destructive test specified above. Broadly speaking, two methods should be mentioned, on the one hand the nondestructive mechanical testing of a bonded connection, in which low forces act on the connection (tensile or shearing forces), in order to test its strength, on the other hand a method based on the measurement of signals that can be obtained directly from the ultrasonic generator or the position sensor of the transducer.

The second method uses as measured variables the current flowing in the transducer, the voltage at the output of the ultrasonic generator or the deformation of the wire, or a combination of these variables.

Serving as correcting variables for defining a process window are the bonding force, the ultrasonic power and the bonding time. These methods are described in the patents U.S. Pat. No. 4,606,490, EP 0 368 533 B1 and EP 0 540 189 B1. An essential feature of these methods is that the variables measured vary with a profile that follows a characteristic curve predetermined by the user. A weakness of this method is that even poor bonded connections may exhibit such deformation and current profiles. Consequently, the set procedure specified is in any event necessary, but in no way sufficient for determining the quality of a bond, and is therefore unsuitable for detecting with certainty a bond of inferior quality.

An attempt to rectify this shortcoming can be found in the patents EP 1 023 139 B1 and EP 1 342 201. In the earlier methods, only one measured variable was considered and taken as a basis as a measure of quality. In recent methods, it is attempted to combine the aforementioned variables and derive quality criteria from them. Instead of the current, here the electrical admittance of the transducer is used as a variable that is to the greatest extent independent of the ultrasonic power. It is attempted to use the combination of the admittance profile and the deformation of the wire, and the correlation between them, to achieve a more reliable finding as to the quality of a connection.

These methods do not achieve the aim either, since the measured variables used do not correlate sufficiently with the physical processes taking place in the connecting zone. For example, the electrical resonance (phase angle between current and voltage=zero) does not correspond to the mechanical resonance (phase angle between the speed of the tip of the tool and the voltage=zero), so that systems which only use the electrical variables are not operated with mechanical resonance. Neither the speed of the tip of the tool nor the friction between the parts being connected, that is to say the physical variables that are of decisive importance directly for the formation of the connection, are recorded by the aforementioned methods.

The use of a sensor mounted in the membrane is described in the applicant's EP 1 789 226 A1 and WO 2006/032316 A1.

The described methods that have so far become known are therefore not suitable for acquiring the data essential for assessing the quality of a connection and processing them correspondingly. To this extent, these methods cannot satisfy the requirements for quality monitoring in fully automatic bonders.

SUMMARY OF THE INVENTION

According to a first aspect, the invention is based on a method for quality control during ultrasonic bonding, in particular ultrasonic wire bonding, in which a transducer/bonding tool unit and an ultrasonic generator are used and in which, during the bonding, measurement signals for one or more parameters that can vary during the bonding are sensed by means of one or more sensors for assessing the quality of the bond and/or for influencing the bonding, in particular by means of controlling or regulating the bonding process.

Against the background of the difficulties explained at the beginning with respect to the prior art, it is to this extent an object of the invention firstly to provide improved possibilities for quality control, in particular to include further physical variables that are essential for, or informative about, the formation of a connection.

The solution achieving this object according to the invention is based on the recently discovered realization that, in particular, the speed of the tip of the wedge and the friction between the parts to be connected are physical variables or parameters of the bonding process that are essential for the formation of a connection, and to this extent are informative for the assessment of the bonding operation, and that these variables or parameters should therefore be extracted from a sensor signal and made available to an assessment unit. This assessment unit can then be based on a suitable model as a reference, on the basis of which the assessment of the process data is possible.

To achieve the object, the invention proposes first and foremost the method steps that, during the bonding, at least one speed profile measurement signal that is representative, in particular qualitatively or with respect to the phase profile, of the time/speed profile of the tip of the ultrasonic tool in the direction of oscillation thereof is sensed. To this extent, the time/speed profile of the tip of the tool or wedge represents a parameter (bonding parameter) which, as a measured variable or as a variable parameter of the bonding operation, allows observation thereof. The measurement signals generated from it can be used as input variables for a subsequent evaluation, in particular for assessing the quality of a bond, and/or for controlling and/or regulating the bonding operations at the time and/or subsequently. There is the possibility that one or more further input signals from various sources are additionally included. All variables relevant to the process come into consideration, for example from the kinematics the wire deformation, from the ultrasound system the frequency, the phase difference between current and voltage and the ultrasonic current, and from additional sensors, for example the mechanical ultrasonic oscillation and the phase between wedge speed and ultrasonic current. The parameters or measured variables may be recorded continuously or virtually continuously or at a suitable clock rate. The numerical values thereby determined for a respective measured variable during the production of a bonded connection, i.e. during a bonding operation, may be combined as a column of values to form a vector (feature vector), which is available for further evaluation and use. The values thereby recorded in a time interval, and optionally grouped together to form a vector, are also referred to hereafter in their sequence over time as profiles. It is considered to be suitable if the recording or resolution of the time/speed profile of the tip of the tool in the direction of oscillation thereof is in such fine time increments that the time profile generally made up of sine and/or cosine components is thereby reproduced. To this extent unequivocal recording can be performed in real time for these and, if need be, further measured variables, preferably using FPGA-based electronics, which can be connected to a DDS ultrasonic generator by means of an additional interface.

There is also the possibility of deriving further process-relevant variables from one or more of the aforementioned signals determined with respect to measured variables or bonding parameters. In particular, there is the possibility of using the sensor signals determined from the speed profile of the tip of the tool to obtain derived variables which are associated with or represent the friction between the tip of the tool or wedge and the wire, the friction between the wire and the substrate, the coupling of the wire to the substrate and the deflection or speed of the tip of the tool or wedge. The generation of derived signals from measurement signals may be carried out for example by processing, and in particular transformation, of one or more measurement signals (for example also filtering) and/or by computational combination of a number of measurement signals (for example two, three, etc.). Also coming into consideration as a derived variable, for example, is the mechanical admittance as a quotient of the two measured variables, tool speed and generator voltage. Other examples are the electrical admittance as a quotient of the current and voltage of the generator as well as the electrical impedance as the inverse value of the admittance.

Furthermore, variables based on similarity functions (texture comparisons) represent further possible input variables, in particular also for the calculation of a quality index, in particular according to further aspects of the invention. Each of these input variables represents a vector, the length of which is dependent on the recording duration, the sampling rate and optionally applied pre-processing operations.

According to a preferred development of the method according to the invention, it is preferred that the speed profile measurement signal is recorded by means of a piezo sensor, which is preferably disposed in/on a mounting of the ultrasonic transducer and by means of which it is possible in particular to measure technically a transverse extension perpendicular to a propagating ultrasonic excitation wave. A piezo sensor may preferably be used for this purpose, such as that described in the applicant's WO 2006/032316 A1. The content of this document is hereby incorporated in full in the present application, also for the purpose of including one or more of the features described therein in claims of the present application. Investigations with such a sensor have surprisingly found that the speed of the tip of the tool or wedge, measured with a laser interferometer for purposes of comparison, coincides with the sensor voltage with respect to the phase position. On the basis of this realization, it is proposed according to a development of the method according to the invention that the time/generator voltage profile fed to the ultrasonic transducer from the ultrasonic generator is measured, that the phase difference between the time/generator voltage profile and the speed profile measurement signal is determined, for example by means of a phase comparator, and that the oscillation frequency of the ultrasonic tool is set or changed by means of the ultrasonic generator in such a way that said phase difference is reduced, preferably to substantially or precisely zero. This succeeds in producing a state of mechanical resonance, which offers considerable advantages in the production of bonded connections. This is so on the one hand because, in this state, there is an optimum transmission behavior of the piezo oscillation to the welding tool and on the other hand only particularly small losses occur. According to the invention, there is the possibility of approaching the state of mechanical resonance in a controlled manner. This was not possible in the past, for one reason because there was no possibility of measuring the time/speed profile at the bonding apparatuses, and to this extent a corresponding use was also unknown. Instead it was attempted in the past, though only with limited success, to improve the transmission behavior and losses by the setting of electrical resonance. This involved using a phase comparator to determine the phase difference between the transducer current and the transducer voltage and using a phase regulator for adjustment involving changing the oscillation frequency to zero. However, the state of electrical resonance does not generally coincide with the desired state of mechanical resonance, so that the setting thereof was not possible in a controlled manner. It was then found that, with the tool oscillating, the speed profile is so similar to the measurement signal of the piezo sensor up to high spectral components that the mechanical resonance can be set with great accuracy. A PLL, i.e. phase locked loop or closed loop, known per se, may be used for example for regulating the phase difference to the value zero.

Seen as a further suitable development of the method according to the invention is that, during individual bonding operations or after the bonding, friction value/time profiles are determined by means of the speed profile measurement signal as actual profiles or actual vectors of the friction that characterize the variation of the frictional forces changing during the duration of individual bonding operations. The determination of the friction value/time profiles on the basis of the speed/time profile can be performed in a manner with which a person skilled in the art is in fact quite familiar. It may involve determining a sequence of friction values each of which is associated with a specific point in time of a bonding operation and has, for its part, been derived in particular from a greater number of measurement signals of the tip of the tool. The “friction value signal” obtained, or the time profile thereof, may be understood as an aggregate signal during the bonding operation between the bonding tool, the bonding wire and for example the substrate (cf. also the statements made above). The friction signals obtained during a bonding operation, for example, may also be treated for example as a vector for further processing. Correspondingly, vectors for speed values and for friction values and for values derived therefrom, such as for example the admittance, can be formed. According to the invention, there are various possibilities for using these profiles according to requirements for influencing the subsequent bonding and/or for assessing bonding results (quality of a bond). There is the possibility of using the friction value determined in the case of a process state of the bonding operation at a particular time (in the sense explained above as a derived variable) for controlling and/or regulating the further bonding operation and/or subsequent bonding operations, preferably in the course of influencing manipulated variables, such as for example the bonding force, ultrasonic power, bonding time and/or ultrasonic frequency. Alternatively or in combination, there is the possibility of determining a quality value characterizing the quality of a bonding operation or a bonded connection from the friction value/time profile and a setpoint friction value/time profile that is predetermined or a setpoint friction value/time profile that is determined and stored beforehand by means of a computer in a learning phase, preferably according to or by analogy with features explained below. For example, the setpoint profile of the derived friction may also be represented as a vector and compared in its elements step by step with temporally associated elements of the actual vector. For example, a deviation vector may be formed from the respective differences. With respect to the possibility of generating setpoint value profiles of measured variables and/or derived variables in a preceding learning phase, reference is also made in this connection to the description hereinbelow. There is also the possibility of using said quality value for controlling and/or regulating subsequent bonding operations, preferably in the course of influencing manipulated variables such as the bonding force, ultrasonic power, bonding time and/or ultrasonic frequency. A further preferred use may be that the quality value is used for influencing manipulated variables of the bonding process, such as in particular the bonding force, ultrasonic power, bonding time and/or ultrasonic frequency in the course of controlling or regulating and/or for the emission of warning signals when critical values are reached. It has been found that the profiles of the tool speed in the direction of oscillation occurring during individual bonding operations and profiles derived therefrom (in particular the derived friction) can, depending on the bonding conditions, make it possible to provide a more reliable finding about the quality of a bonding operation in comparison with conventional evaluation parameters (in particular the wire deformation). The method according to the invention therefore makes more precise monitoring of the quality of a bond possible in comparison with the prior art, and if need be (for example if the bonding conditions change), improved influencing of manipulated variables to obtain consistently good quality of the bond. In particular, there is the possibility of integrating a setpoint/actual comparison of the derived friction in a regime of controlling and/or regulating bonding processes, with the further possibility that additional parameters could also be taken into consideration.

As far as the previously explained first aspect is concerned, the invention also includes a bonding apparatus, preferably a wire bonder, for the production and quality control of ultrasonic bonded connections, having a transducer/bonding tool unit and an ultrasonic generator as well as at least one sensor for obtaining measurement signals for at least one parameter that can vary during the bonding. The invention proposes that the bonding apparatus has at least one sensor which is suitable for generating a speed profile measurement signal representing the time/speed profile of the tip of the ultrasonic tool in the direction of oscillation thereof. For preferred developments in this respect, reference is also made to the features of claims 9 to 14 and, for possible advantages and effects, reference is made to the description as a whole and the figures. The invention of course also includes in this connection an ultrasonic generator, which can regulate the phase between the speed of the tip of the wedge and the ultrasonic voltage, so that the system operates in phase zero at its mechanical resonance.

On the basis of the relationships and features described above, the invention is consequently also concerned in its first aspect with the generation of process-integrated quality monitoring modules, in particular using friction and mechanical admittance (quotient of the speed of the tip of the wedge and the voltage of the generator), preferably with specifically predetermined reference data (setpoint data). In this case there is the possibility of processing external sensor values. There is also the possibility of operating the transducer-wedge system at its mechanical resonance or optionally at electrical resonance. Derived variables for the friction and the wedge speed can be determined from measured variables.

According to a second aspect, the invention relates to a method for quality control during ultrasonic bonding, in particular ultrasonic wire bonding, in which a transducer/bonding tool unit and an ultrasonic generator are used and in which, during the bonding, measurement signals for one or more parameters that can vary during the bonding are sensed, in particular for assessing the quality of the bond and/or for influencing the bonding.

On the basis of the prior art described, it is the object of this further aspect of the invention to develop methods of the stated type advantageously, so that in particular a more accurate and reliable assessment of the quality of a bond is made possible.

The object is achieved according to the invention first and foremost in conjunction with the features

-   -   that, during the time period of bonding operations, measurement         signals for one or more parameters, such as in particular the         current intensity and/or voltage at the ultrasonic generator or         transducer and/or wire deformation and/or ultrasonic frequency         or resonant frequency and/or tool speed, are recorded by means         of sensors and are respectively provided as, in particular, a         temporal actual profile, in particular are kept in a memory,     -   that it is provided in particular that one or more actual         profiles for variables derived from the parameter(s) is/are         formed from measurement signals for one or more parameters of         the bonding process,     -   that one or more actual profiles is/are respectively subjected         to a computing operation, in particular a comparing operation,         with a setpoint profile which is stored in a memory and is         associated with the respective actual profile with respect to         the parameter thereof or the derived variable thereof, a         deviation profile being determined in each case for the actual         profiles, in particular by comparison of individual values of         actual and setpoint profiles that are temporally associated with         one another     -   and that an individual quality index Q_(i) and/or a quality         index Q collectively characterizing the quality of an individual         bonding operation or individual bonded connection is         respectively calculated by means of suitable computational means         from one or more deviation profiles and, in particular, is         stored and/or used for controlling or regulating subsequent         bonding processes.

The determination of individual quality indices Q_(i), which is also referred to within the scope of the invention as feature extraction (cf. also the figures), makes it possible to monitor the quality of a bond in a particularly clear and informative way and even, as also explained below, furthermore control and/or regulate the process of producing bonded connections (i.e. the so-called bonding). Within the scope of the invention, multi-variable appraisal or multi-variable monitoring is preferred.

The actual profiles, setpoint profiles and deviation profiles may in principle or in general, i.e. also in connection with the other aspects of the invention, again be, for example, one-dimensional vectors or sequences of values, with values preferably sorted in the time sequence of the underlying measurement signals. To this extent it is also possible to speak in terms of vectors (feature vectors) instead of profiles, that is to say to speak of actual vectors, setpoint vectors, deviation vectors, etc. In a simplified form, they may be understood as columns of values, the number of their numerical values depending, inter alia, on the clock rates used in the measurements and the duration of the bonding operations or measurements. It is in this case preferred that actual vectors and setpoint vectors have the same dimension or length, so that pairs of values of two vectors that are associated with one another in the sequence of steps or at the measuring time (that is temporally), can be respectively evaluated in a particularly clear way for generating values of the deviation vector.

As described above, the invention proposes the generation of feature profiles or feature vectors from measured and/or derived variables. In the calculation of an individual quality index Q_(i), the underlying feature vector or the deviation vector thereof is preferably converted into a scalar variable. If the number of feature vectors or profiles on which the quality calculation is based is denoted by n, this is a mapping of n feature vectors that may have the same or different dimensions onto a feature vector (result vector) of the dimension n. Each element of the result vector may in this case preferably correspond as a scalar variable to the value of the respectively underlying feature vector.

It is preferably provided that, in the calculation of the quality index Q, at least some of the deviation profiles are weighted individually, and in particular independently of one another, in particular according to information previously stored in a memory. The accuracy of the quality assessment can also be increased in particular by one or more deviation profiles being variably weighted temporally or in their variation (i.e. with respect to the various elements of the deviation vector) during the calculation. The method according to the invention may preferably be performed in such a way that an individual quality index Q_(i) is respectively determined by means of suitable computational means from individual deviation profiles, in particular with individual weighting temporally or in terms of variation, according to stored information and that the quality index Q is calculated from a number of individual quality indices Q_(i) according to a stored algorithm.

These method steps are based on the realization now discovered that different bonding parameters (or variables derived from them) or the measured time profiles thereof may be attributed various levels of significance in the assessment of the quality of a bond with respect to one another and also individual bonding parameters (or variables derived therefrom) within different time intervals of a bonding operation. This means that a model which only takes into consideration individual bonding parameters that are assumed to be significant, but does so over the entire bonding duration, or a model which in principle constantly takes into consideration all technically measured parameters may not be sufficient for an exact quality assessment, depending on conditions of the bonding process and the disturbing influences acting on it. The method according to the invention thus makes it possible to integrate into an automated method for quality control, or into a bonding apparatus suitable for carrying out said method, findings as to which bonding parameters may have a greater or lesser significance in which time periods within the bonding duration. Corresponding findings and relationships may be determined in tests and then archived, for example in a database, an expert system or the like. If bonded connections are then to be produced later under corresponding bonding conditions, i.e. for the same reference system, the archived information can be loaded into a main memory, so that a quality assessment that is tailored to this extent is possible. For example, it may be advantageous under certain preconditions to give the time profile of the wire deformation greater significance toward the end of a bonding operation. Similarly, it would be conceivable, for example, to give a profile representing the varying friction a greater weighting in an early time interval of the bonding phase in comparison with a later time interval. Of course, there is also the possibility if need be of providing certain bonding parameters with the same weighting over the bonding duration. What is decisive is the possibility of being able to weight various bonding parameters individually, and to this extent independently of one another. By analogy, there is also the possibility of using individual weighting of bonding parameters within a regime of controlling or regulating the bonding process in real time for influencing manipulated variables. For example, it would be conceivable for the ultrasonic power to be influenced with greater weighting of a first bonding parameter at the beginning of a bonding operation and with greater weighting of a setpoint/actual comparison for another bonding parameter toward the end of the bonding operation.

According to the above, the method according to the invention also includes the possibility that deviation profiles of individual bonding parameters are only considered in terms of their value at certain time intervals within bonding operations as a result of their individual weighting. This can be achieved, for example, by these parameters being assigned the weighting of zero in other time intervals of the bonding operation. While it is also the case here that the bonding parameters that are always taken into consideration are constantly recorded during the bonding duration, the weighting of individual bonding parameters in the quality assessment may be different during different time intervals. Apart from predetermining the different weightings themselves, there may also be the possibility of individually predetermining the starting points and ending points for the various parameters. As an alternative to or in combination with sudden changes in the weighting of parameters, it is also possible to predetermine weighting functions in which the weighting factor changes in small steps or virtually continuously. This would be possible, for example, by predetermining weighting vectors.

As already mentioned, there is also the possibility of forming derived variables from measurement signals of various parameters, in particular by means of suitable computational means, and in turn determining from the respective actual profiles thereof deviation profiles, by computational comparison with previously stored setpoint profiles of these derived variables, and of these deviation profiles being used for the determination of a quality index that is weighted individually in terms of time. As above, the term comparison should be broadly understood here in the sense of various possibilities of data processing and computational operations. In a simple example, the comparison could comprise a simple subtraction or formation of the difference between pairs of setpoint values and actual values, but other algorithms would also be conceivable. As far as the setpoint profiles predetermined for example by vectors are concerned, there is the possibility of these being specifically predetermined for example in a memory (for example originating from an expert system) or previously determined in a learning phase, preferably according to or by analogy with features subsequently described. For the automation of the method described above, it is also preferred that at least one or more of its steps is/are carried out in a computer-aided manner by means of software. A preferred development is also seen in the possibility of using the determined individual quality indices or the overall quality index for refining the regime of controlling and/or regulating the further bonding operation. Manipulated variables may here again preferably be the bonding force, the ultrasonic power and the bonding time.

As far as its second aspect is concerned, the invention also includes, furthermore, a bonding apparatus, preferably a wire bonder, for the production and quality control of ultrasonically bonded connections, which is formed according to claim 24 as being suitable for carrying out the method described above. For possible preferred developments of the bonding apparatus, reference is also made to the features of claims 25 to 31 and, for possible effects and advantages, reference is made to the description as a whole. The measured variables or parameters, such as current, wire deformation, resonant frequency, wedge speed, phase differences between ultrasonic voltage and current and wedge speed and voltage, as well as the variables derived from the sensor signals, for example admittance or impedance and friction, are compared with a predetermined or learned time profile (setpoint profile). A weighted input variable for the subsequent calculation of the quality index is determined from the deviation of the individual measured variables from the associated setpoint curve or setpoint profile. The weighting of the individual values and the time period in which these values are considered can be set.

According to a third aspect, the present invention relates to a method for quality control during ultrasonic bonding, in which a transducer/bonding tool unit and an ultrasonic generator are used and in which, during the bonding, measurement signals for one or more parameters that can vary during the bonding are sensed for assessing the quality of the bond and/or for influencing the bonding.

Measurements with conventional systems have shown, in particular when using relatively thick wires, that the recorded physical variables vary very greatly in dependence on the bonding surfaces, the substrate materials, the stiffness of the construction, the eigenmodes of the system as a whole, the wedges and wires used, etc. The strongly application-dependent fluctuations of the process variables do not allow the use of characteristic curves as reference data that can be used across all applications in the case of thick wire bonders.

Against this background, it is a further object of the invention to provide a method and an apparatus which can generate suitable reference data (setpoint data) for the assessment of the input data under consideration, or in an analogous sense can learn such data, for a wide variety of applications—in spite of different starting preconditions.

This object is achieved according to the invention first and foremost in conjunction with the features

-   -   that a learning phase is carried out for at least one specific         bonding reference system, with predetermination of specific         settings of the bonding apparatus, in particular associated with         the bonding reference system in a database, the learning phase         comprising a specific collective, i.e. specific number, of         learning bonding operations,     -   that, during the time period of learning bonding operations,         measurement signals for one or more, time-parallel, parameters         of the bonding process, such as in particular the current         intensity and/or voltage at the ultrasonic generator and/or wire         deformation and/or ultrasonic frequency or resonant frequency         and/or tool speed in the direction of oscillation, are recorded         in each case or separately by means of sensors and are         respectively kept in a memory as, in particular, temporal         learning profiles,     -   that, for at least one parameter, the distribution of the         probability density or the relative probability of the         measurement signal values is determined, in particular using a         statistical model, from the collective of the learning bonding         operations for points in time or measuring steps that are in         each case constant or the same but are different or taken into         consideration in the learning profiles,     -   and that the maximum value is determined in each case for the         respective distributions, that a characteristic expectation         curve is formed from the maximum values of the various         distributions and that the characteristic expectation curve is         stored as a learned setpoint profile of the parameter concerned.

The sensing of measurement signals by means of the sensors may be carried out continuously, virtually continuously or optionally also at a desired lower clock rate. The chosen term, learning phase, is intended to illustrate that setpoint profiles (setpoint vectors) serving as reference profiles are generated in an automated manner during this phase by means of the bonding method or the bonding apparatus. To this extent, instead of speaking of a learning phase, one could also speak of a generating phase for reference profiles or setpoint profiles.

On the assumption that stable processes that have process parameters ensuring the production of bonded connections of sufficiently high quality exist for the various starting preconditions, the related statistics for each directly measured variable and for each derived variable can be learned. This learning phase serves for generating reference data which serve during later automatic operation as a basis for the calculation of the quality indices. There is therefore no specifically programmed-in characteristic curve for the various processes, but instead the characteristic curves are generated by the system itself under the aforementioned premise.

The same variables as previously described can be used as input variables. On the basis of the statistics learned, deviations can be quantitatively assessed and used for a quality calculation.

It is considered to be a suitable procedure that individual setpoint profiles are respectively generated in separate learning phases for different bonding reference systems, i.e. for systems which differ with respect to the bonding conditions. In the case of a first reference system, this could be, for example, a system with a ceramic substrate, in the case of a second, different reference system, it could be, for example, a connector, in the case of a third reference system, it could be, for example, a chip, and so on. The differentiation between the differing bonding conditions, which can lead to different setpoint profiles, is particularly significant in the case of so-called thick wire bonding, since greater deviations can occur here than in the case of thin wire bonding. To this extent it is also regarded as advantageous if, for a specific ceramic substrate, for example, in combination with different wire thicknesses, once again different reference systems are formed or related individual setpoint vectors are created. In practice, the procedure followed for generating setpoint profiles for a specific reference system may be that, during a first bonding operation, all measured variables of interest for a quality assessment during later automatic operation are recorded in parallel and stored in separate vectors, it also being possible to form vectors for variables derived from the measured variables. This step may then be repeated for a second bonding operation and further bonding operations, a bonding collective possibly comprising, for example, one hundred bonding operations (or some other number). If the measured variable profiles are recorded, for example, at a sampling rate of 50 kHz, and if, by way of example, the rate of a bonding operation is 10 m/sec, this results in five hundred measured values for each measured variable or measured variable profile. Settings of the process parameters of the bonding apparatus (for example the bonding force, ultrasonic power and bonding time) with which the bonding process is expected to function so well for the specific reference system that a majority of the bonded connections produced, in particular a statistically significant proportion, have good quality of the bond, and at most a smaller proportion, in particular a statistically less significant proportion, of the bonded connections are of unsuitable quality should be chosen during the learning phase. Such settings may either be preselected by trained personnel on the basis of empirical values or, for example, be taken from a database, an expert system or the like. During the learning phase, the values for all measured variables entering the setpoint curves or setpoint profiles are recorded time-parallel with one another. In this case there is the possibility in various ways of preparing the measurement signals by means of signal processing components (for example computing units, analogous transmission elements, etc.).

The learned setpoint profiles can be used later in a method for producing bonded connections (production operation or automatic operation) for the quality control of the ultrasonic connections. For this purpose, there is the possibility that, for the production of bonded connections for a specific bonding reference system, the setpoint profiles created during an earlier learning phase are provided, for example from a database, for example they are read into a main memory, that, during the time period of bonding operations, measurement signals for one or more parameters are recorded in each case by means of suitable sensors and respectively kept in a memory as temporal actual profiles and that, for at least one parameter, deviation profiles are determined as so-called error vectors from the actual profile and the setpoint profile learned in the learning phase. This may take place in the way already described, for example by computational comparison of values that are temporally associated with one another from the setpoint and actual vectors. It is considered to be a suitable development that a confidence interval of a specific magnitude about the distribution maximum is predetermined for the statistical model, that in the respective distributions the values at the lower interval boundary and/or upper interval boundary are determined, that a lower characteristic boundary curve is formed from the values of the lower interval boundary and/or an upper characteristic boundary curve is formed from the values of the upper interval boundary and that actual profiles determined during the production of bonded connections are computationally compared with the lower and/or upper characteristic boundary curve. In particular, there is the possibility that, if the upper characteristic boundary curve is overshot and/or the lower characteristic boundary curve is undershot, an error signal is generated and/or is stored in a database and/or is associated with the bonded product by means of an identification for the later segregation or repair of said product and/or a user input is requested by a process controlling or regulating system. Alternatives of this kind may also be provided if, for example, the quality index Q calculated for a respective bonding operation (or one or more individual quality indices Q_(i)) over- or undershoot(s) specific limit values. It goes without saying that said deviation profiles can, if need be, be determined for a number of parameters. There is also the possibility that setpoint profiles for derived parameters are determined in the learning phase from the measurement signals for parameters or from expectation profiles, that, during the subsequent production of bonded connections, actual profiles for said derived parameters are also determined from the measurement signals or from actual profiles of measurement signals and that deviation profiles associated with the derived parameters are also determined from setpoint profiles and actual profiles associated with one another for derived parameters. Said deviation profiles of measured variables and/or derived variables may for their part be used for determining individual quality indices and/or an overall quality index, preferably according to one or more features described with reference to the figures. Also in the case of the method described above, there is the possibility of at least one or more method steps being automatically carried out in a computer-aided manner by means of software.

As far as its third aspect is concerned, the invention also further includes a bonding apparatus, preferably an ultrasonic wire bonding apparatus, for the production and/or quality control of ultrasonic bonded connections, according to claim 42, which is formed suitably for carrying out the method according to the invention according to one or more of the features described in this respect above, or is adapted for this purpose. Features for the preferred development of such a bonding apparatus are also specified in particular in claims 43 to 45. For possible effects and advantages, reference is also made to the description as a whole and the figures.

With respect to the statements made above, the invention is concerned with the provision of a self-learning system, the apparatus and the method being suitable for producing statistics that are dependent on the product and the ambience as a basis for quality calculation. In theory, the quality calculation may include any desired number of input variables that can be provided as measured variables and/or calculated in real time as derived variables of the measured variables, for example by transformation of the measured variables, wavelet transformation, estimation of the variance, etc. There is the possibility of generating process-integrated quality monitoring modules using the input variables described (actual profiles or actual vectors) with reference data (setpoint profiles or setpoint vectors), which have been learned in the corresponding learning phases or automatically generated for the different processes. Quality monitoring modules of this kind may be configured as hardware modules and/or as software modules on a bonding apparatus according to the invention (as also in the case of the other aspects of the invention), it being possible within the scope of various aspects of the invention for modules of this kind also to be the subject of independent patent claims. There is the possibility of taking into consideration a constant number of input vectors. There is also the possibility of generating feature vectors by correlation of different measured variables of identical or different time intervals or by correlation of identical measured variables from different time intervals. There is also the possibility of taking into consideration a variable number of input vectors by feedback from a monitoring unit. The invention finally also reflects the possibility of generating process-integrated quality monitoring modules by using a set of input data extended by a monitoring unit as well as an adaptive quality calculation. There is the possibility of the transformation of an error vector to a scalar quality variable.

According to a fourth aspect, the invention also relates to a method for quality control during ultrasonic bonding, preferably ultrasonic wire bonding, in which a transducer/bonding tool unit and an ultrasonic generator are used and in which, during the bonding, measurement signals for a number of parameters that can vary during the bonding are sensed, preferably for controlling the quality of the bond and/or for influencing the bonding.

On this basis, it is an object of the invention to develop a method of this kind advantageously, so that, in particular, improved feedback of operating states is made possible.

The object is achieved according to the invention first and foremost by the features that, during the time period of bonding operations, measurement signals for a number of parameters, such as preferably the current intensity and/or voltage at the ultrasonic generator or transducer and/or wire deformation and/or ultrasonic frequency or resonant frequency and/or tool speed, are recorded by means of sensors and are respectively provided as temporal actual profiles, preferably stored in a memory, with the possibility that one or more actual profiles for variables derived from the parameter(s) is/are formed from measurement signals for one or more parameters of the bonding process, that a number of actual profiles are respectively subjected to a comparative computing operation with a setpoint profile which is stored in a memory and is associated with the respective actual profile with respect to the parameter or the derived variable, a deviation profile being determined in each case for the actual profiles, preferably by comparison of individual values that are temporally associated with one another, that an individual quality index (scalar variable) is respectively calculated by means of suitable computational means from deviation profiles and that a plurality of individual quality indices, at least of one bonded connection, are compared as a bond index group with a number of different memory index groups stored in a memory, preferably in an expert system, which differ from one another by the values of the individual quality indices associated with specific parameters or derived variables, using at least one predetermined similarity criterion, and, if at least one similarity criterion is satisfied, are associated with a memory index group.

The determination of said individual quality indices is also referred to within the scope of the invention as feature extraction. In a simple application example, an individual quality index can be determined from the values or scalars of the associated deviation vector by forming the value. It is preferred that, when a similarity criterion for a memory index group is satisfied, a preferably electrical classification signal is automatically generated, causing information to be output and/or being used for controlling or regulating a bonding apparatus. It is also suitable that different data concerning the operating state of a bonding apparatus, preferably concerning different errors states, are respectively associated with different memory index groups in a memory and that the generated classification signal or error classification signal causes the output of information concerning this operating state or error state. According to a further aspect of the invention, which may also be of independent importance, there is the possibility of the individual quality indices formed during the feature extraction (which already no longer have any time reference) and/or the quality index and/or classification signals of bonded connections produced during bonding operation being analyzed for aberrant bonds by means of a monitoring device performing computing operations, with consideration for known relationships and statistics. To develop the method, the group of individual quality indices belonging to a aberrant bond may be stored in a memory as a new memory index group and be combined with data concerning the operating state or error state. There is the possibility that, from the aberrant bond, measurement signals, preferably actual profiles thereof, are converted statistically into derived variables by means of computational means and the actual profiles thereby formed are investigated for significant features, profiles, etc. According to a further aspect of the invention, which may likewise be of independent importance, there is also the possibility that derived variables for which significant features have been established are used during subsequent bonding processes in the calculation of the quality index. In this way, the number of input vectors for the feature extraction and the future number of values contained in an index group are increased by 1. Such a monitoring system advantageously ensures that the quality monitoring is constantly extended or checked over and best-possible model forming is achieved. According to a further aspect of the invention, which may likewise be of independent importance, there is the possibility that, with predetermined deviations between bond index groups and memory index groups, electrical signals in particular are automatically generated and used, preferably in real time, for controlling or regulating the bonding operations in progress at the time and/or carried out subsequently. To this extent, this is negative feedback in dependence on known memory index groups or error classes. It is also preferred that the method is carried out according to one or more of the features described above in an automated manner after setting and/or maintenance work on a bonding apparatus. It is preferred as being suitable that the method is carried out according to one or more of the features described above in an automated manner, preferably in a computer-aided manner using software.

As far as its fourth aspect is concerned, the invention also includes, furthermore, a bonding apparatus, preferably an ultrasonic wire bonding apparatus, for the production and quality control of ultrasonically bonded connections, which according to claim 57 is suitable for carrying out the method according to the invention, with one or more of the features described above, or is adapted for carrying it out. Preferred possible developments are also specified in claims 58 to 62, reference being made to the description as a whole and the figures for possible effects and advantages.

According to the explanations given above, the invention makes it possible to classify errors that are possible during bonding processes, automatically allocate them to error classes and name bonding errors in an automated manner. To this extent, the invention also includes the possibility of generating correction variables in real time in dependence on input textures in the feature extraction and providing feedback to the process controlling system. There is also the possibility of generating correction variables in the quality calculation in the form of a trend analysis and providing feedback to the process controlling system. A further application possibility is that of monitoring user interventions and checking over maintenance work. The invention also makes it possible to transform an error vector to a scalar quality variable.

As far as the various aspects described are concerned, the invention also independently includes in addition to the bonding apparatuses respectively described for them those components or modules that are suitable or satisfactory for carrying out the individual methods according to the invention. To this extent, corresponding components or modules may also be the subject of independent patent claims.

BRIEF DESCRIPTION OF THE DRAWINGS

The aspects of the present invention are described in more detail below with reference to the accompanying figures, in which preferred exemplary embodiments of the method according to the invention and apparatuses according to the invention are represented and in which:

FIG. 1 shows in the form of a block diagram an apparatus suitable for the computational determination of individual quality indices and the quality index and a procedure according to the invention,

FIG. 2 shows in the form of a diagram a representation of a learned statistical model of a parameter or a derived variable,

FIG. 3 shows in the form of a three-dimensional diagram a representation of the probability density of a measured variable for the sampling times,

FIG. 4 shows on the basis of the curve profile shown in FIG. 2, a chosen confidence interval of 95 percent,

FIG. 5 shows as a block diagram an apparatus and a method according to the invention for the classification of bonding errors,

FIG. 6 shows on the basis of FIG. 5 a development with feedback from the classification unit to the process controlling or regulating system,

FIG. 7 schematically shows as a block diagram a bonding apparatus and a bonding method with an ultrasonic generator for setting electrical resonance and

FIG. 8 schematically shows as a block diagram a bonding apparatus and a bonding method with an ultrasonic generator for setting mechanical resonance according to the invention.

DETAILED DESCRIPTION OF THE INVENTION

FIG. 1 shows a preferred arrangement of components suitable for calculating the quality indices Q, Q_(i) (i.e. Q₁ to Q_(n)). The derived variables, including the wedge speed and the friction, are determined from the raw sensor data with the aid of a special signal processing unit I. Together with the measured variables already mentioned, the current, admittance, deformation etc., and the resonant frequency determined in real time, firstly an individual quality value Q_(i) is calculated for each of these variables in the assessment unit II as part of the so-called feature extraction. These individual quality indices Q_(i) are then transferred to the calculating unit III for quality calculation for the overall index and the quality index Q or Q_(ges) of the respective bonded connection is then calculated there from the weighted individual indices Q_(i). This quality index is then stored in the memory IV. Manipulated variables are, for example, the bonding force, the ultrasonic power, the bonding time and/or the ultrasonic frequency. The individual quality indices Q₁ . . . Q_(n) may be treated as a vector from which the overall quality index Q can be calculated. Each element Q_(i) (i.e. Q₁ . . . Q_(n)) represents a scalar variable which has been respectively calculated from a deviation profile or deviation vector of a measured variable or a derived variable, for example the scalar variable may be a vector amount, in particular weighted with respect to its individual elements.

A model for the forming of a connection suitable for assessing the quality of the connection can be generated from the measurement data which, according to one aspect of the invention, are recorded during the learning phase. FIGS. 2 to 4 illustrate a preferred procedure, the basic procedure, when generating statistics applicable to a respective measured variable. In FIG. 2, the probability distribution of a measured variable at a specific sampling time is represented by way of example.

If all sampled variables are recorded and the relative frequency of their amplitudes is considered, a two-dimensional probability density function over the amount of the individual vector components is obtained in this way. A probability distribution of this kind is likewise represented only by way of example in FIG. 3. From this representation, the setpoint profiles for the respective measured variables are generated by the components of the setpoint vector or the setpoint profile assuming the respective mean values. If the respective mean values are plotted in a system of coordinates over the time axis at the respective sampling times and the points are joined by a line (Bézier, spline or the like), the characteristic curve of the measured variable concerned for the application learned is obtained, i.e. a setpoint vector or setpoint profile generated (i.e. “learned”) according to the invention. These numerical sequences may also be interpreted as a time vector, the components of which are associated with precisely one sampling time.

However, it is also possible to use input vectors of which the components are associated with specific values of other measured variables, so that not every vector contains components which can be assigned to equidistant sampling times. The lengths of the feature vectors may likewise differ, since their effect on the system may be of importance for ranges of different sizes of the reference variables.

The statistical models may be chosen in dependence on the input variable. The minimum amount of reference bonds for representative statistics depends on the model chosen. In principle, the aim should be to obtain a random sample that is as large and representative as possible. The minimum size is specifically predetermined by the system as a constant. The size of the range of variance or of the confidence interval (FIG. 4) is a parameter that can be set, for example a 99% range of variance; the position of the range of variance or of the confidence interval (FIG. 4) about the respective center point of the random sample is obtained from the learned probability density function and consequently depends on the chosen model and on the reference data.

The quality calculation is preferably divided into two stages, namely the feature extraction or determination of the individual quality indices Q_(i) (FIG. 1, Block II) and the quality calculation of the quality index Q (FIG. 1, Block III). Firstly, the expectation value (statistical maximum value) belonging to the respective sampling time is calculated for each variable (parameter of the bonding process or derived variable) from the two-dimensional probability density function. For all input variables (components of the input vectors), the distance between the measured value and the random sample reference value (mean value, median, centroid, etc.) is determined. These feature vectors are preferably normalized component by component to the extents of the confidence intervals. The methods known from statistics can be used for the evaluation. In the calculation of the quality indices, different statistics are used for the respective measured variables, statistics which are the best-possible fit for the underlying model. The weighting of the individual values and the time period in which these values are considered can be set. For example, the deformation profile of the wire may be of no significance at the beginning of the bonding process or, under some circumstances, no ultrasonically induced deformation can take place in this phase. It may therefore remain unobserved for the first milliseconds of the process. Other physical effects may be of great significance particularly at the beginning of the welding process, such as for example the temporal profile of the friction between the parts being connected. Finally, the vectors consisting of the Q_(i)s are subjected to still further transformations, in order to obtain derived variables corrected of disturbing influences. In this way, further feature vectors are produced.

In a next step, the n feature vectors at the input of the feature extraction are mapped onto n scalars at the output. These may once again be regarded as a vector with n components and serve as an input variable for the quality calculation. In the quality calculation, this vector is mapped onto a scalar by a procedure established according to the significance of the components. This scalar is the quality value Q that is being sought. A threshold value which, depending on the configuration, may necessitate intervention by an operator, is a parameter that can be set.

In continuance or development of the aforementioned possibilities, feature vectors (Q1 . . . Qn) or error vectors may be categorized with regard to their associated error in a further step. FIG. 5 shows the preferred basic construction of a system suitable for this. The calculation of the quality values takes place in principle as described in the second embodiment. A further module, which allocates the result to a result class, and to this extent can specify causes of errors, is provided (cf. FIG. 5, Block 1.3.3).

The raw data from the signal preprocessing and the ultrasonic generator are not only used for feature extraction (FIG. 5, 1.3.1), but are likewise passed on to a monitoring unit not operating in real time. The monitoring unit likewise receives the result of the quality calculation and of the error classifier (FIGS. 5, 1.3.2 and 1.3.3). The feature extraction, the quality calculation and the error classification each have a further input, via which the results of the monitoring unit are fed back into the calculation of the quality values.

The monitoring system processes the aforementioned values taking account of the statistics known at the time. It is activated, for example, when the substrate is changed or after a previously established number of bonded connections have been carried out and first investigates the entered data for aberrants (FIG. 5, 2.1, (aberrant detection, classification). If aberrants are found, they are transferred to Block 2.2 (automatic or user guided learning of bond failure) and the user is informed. There is the possibility after investigation of the failed bonded connection of notifying the system of a corresponding error name or, on the basis of the investigation result, releasing a new feature as a quality feature. If no user input takes place, the monitoring system automatically classifies the aberrant and assigns an automatically generated ID code without mnemonic reference. This new data vector is transferred to Block 2.3 of the monitoring unit, where it is made into a new feature vector. From there, feedback is provided to the real-time system (FIG. 5, Block 1.3.1, Path A) and the number of input vectors for the feature extraction is increased by one (Block 1.3.1, FIG. 5). In the form described here, this new input vector corresponds to a combination of the raw data coming from outside and transformation of the data through the signal processing unit, also see FIG. 5, Block 1.2.

The dimension of the input vector for the quality calculation/error classification is consequently likewise increased by one. The new feature vector is transferred furthermore from Block 2.3 to Block 2.4 (adaptation of the quality calculation and classification). In this area, the model is checked for consistency on the basis of the new data, optionally adapted and returned to the quality calculation and the error classifier (FIG. 5, Block 1.3.2 and 1.3.3, Path B). In this way it is ensured by the monitoring system that the quality monitoring is constantly extended or checked over and best-possible model forming is achieved.

According to a further aspect of the invention, with knowledge of the calculated quality and the underlying model, a deviation from the model can be noticed in real time already during the calculation of the vector components which belong to the individual measured variables, and are generally a function of time, and the process can be influenced by suitable parameter adaptation at the time of running the process (see also FIG. 6, negative feedback from 1.3.1 and 1.3.2 to 1.2). Although a system provided with negative feedback is also described by EP 1 023 139, there it is based merely on a specifically predetermined model in the form of characteristic curves. The determination of error classes and the negative feedback in dependence on these error classes is not disclosed there. To this extent, the present invention provides a completely novel solution, which also allows error-related negative feedback to the variables influencing the welding process.

According to a further aspect of the invention, which may also be of independent significance, the method steps and features of a bonding apparatus described above can also be used for checking user interventions. On the basis of exact knowledge of a transducer-wedge system, it is also possible, for example, to check whether, for example, the transducer has been correctly fitted after maintenance work and whether the wedge has been properly installed and fixed with the correct pre-tensioning of the wedge screw. The state of the clamping and the bond holding can also be checked for correct functioning on the basis of the learned textures or profiles.

In Block 1 of FIGS. 7 and 8, essential components of an ultrasonic generator according to a first embodiment are represented. The comparators 1 and 2 respectively convert the sinusoidal signals for current and voltage into square-wave signals, the zero crossing of which in each case coincides with the zero crossings of the sinusoidal oscillations. Then the phase comparator is used to determine the phase difference between the current and the voltage of the ultrasonic signal. The actual phase value determined in this way is fed to the downstream phase regulator (PID controller) as an input variable. The setpoint phase value for resonance is zero. The output variable of the regulator is the input variable of the DDS (Direct Digital Synthesizer), the variable θ_(corr) is the phase increment on the basis of which the frequency of the output signal of the DDS is set. This signal is then amplified by means of a power amplifier and fed to the ultrasonic transducer. The regulator changes its variable θ_(corr) at the output in such a way that the resultant frequency of the DDS at the load (transducer-wedge system) produces the phase difference of zero between the ultrasonic voltage and the ultrasonic current. Such an arrangement is suitable for the setting of electrical resonance.

In FIG. 8, which shows an embodiment that is modified with respect to FIG. 7 and preferred, it is possible to choose whether the current or an alternative sensor signal is passed via the comparator for phase comparison. Disregarding a phase offset, the alternative sensor signal is a measure of the wedge speed, and to this extent can be used for setting the mechanical resonance.

All features disclosed are (in themselves) pertinent to the invention. Individual aspects of the invention that are described, in particular including individual features thereof, may also be combined with one or more of the other aspects of the invention that are described, in particular including with individual features thereof. The disclosure content of the associated/accompanying priority documents (copy of the prior patent application) is also hereby incorporated in full in the disclosure of the application, including for the purpose of incorporating features of these documents in claims of the present application. 

1. A method for quality control during ultrasonic bonding, in particular ultrasonic wire bonding, in which a transducer/bonding tool unit and an ultrasonic generator are used and in which, during the bonding, measurement signals for one or more parameters that can vary during the bonding are sensed by means of one or more sensors for assessing the quality of the bond and/or for influencing the bonding, at least one speed profile measurement signal that is representative, in particular with respect to its oscillation phase profile, of the time/speed profile of the tip of the ultrasonic tool in the direction of oscillation thereof being sensed during the bonding, in particular in real time, wherein during individual bonding operations or after the bonding, friction value/time profiles that characterize the variation of the frictional forces changing during the duration of individual bonding operations are determined, particularly by means of the speed profile measurement signal.
 2. A method for quality control during ultrasonic bonding, in particular ultrasonic wire bonding, in which a transducer/bonding tool unit and an ultrasonic generator are used and in which, during the bonding, measurement signals for one or more parameters that can vary during the bonding are sensed by means of one or more sensors for assessing the quality of the bond and/or for influencing the bonding, at least one speed profile measurement signal that is representative, in particular with respect to its oscillation phase profile, of the time/speed profile of the tip of the ultrasonic tool in the direction of oscillation thereof being sensed during the bonding, in particular in real time, wherein a voltage profile measurement signal representing the time/generator voltage profile and the speed profile measurement signal are fed to a phase regulator and in that the oscillation frequency of the ultrasonic tool is set or changed by means of the phase regulator in such a way that the phase difference is automatically reduced, particularly to substantially or precisely zero, to achieve mechanical resonance of the transducer/bonding tool unit.
 3. The method of claim 1, wherein the friction value determined in the case of a process state of the bonding operation at a particular time is used for controlling and/or regulating the further bonding operation at the time and/or subsequent bonding operations, particularly in the course of influencing manipulated variables, such as for example the bonding force, ultrasonic power, bonding time and/or ultrasonic frequency.
 4. A bonding apparatus for the production and quality control of ultrasonic bonded connections, having a transducer/bonding tool unit and an ultrasonic generator as well as at least one sensor for obtaining measurement signals for at least one parameter that can vary during the bonding, the bonding apparatus having at least one sensor which is suitable for generating a speed profile measurement signal representing the time/speed profile of the tip of the ultrasonic tool in the direction of oscillation thereof, particularly with respect to the oscillating phase profile, wherein the bonding apparatus has means for recording the speed profile measurement signal during the duration of individual bonding operations as well as means for calculating from this friction value/time profiles which characterize, in particular qualitatively, the frictional forces acting during the bonding operation.
 5. A bonding apparatus for the production and quality control of ultrasonic bonded connections, having a transducer/bonding tool unit and an ultrasonic generator as well as at least one sensor for obtaining measurement signals for at least one parameter that can vary during the bonding, the bonding apparatus having at least one sensor which is suitable for generating a speed profile measurement signal representing the time/speed profile of the tip of the ultrasonic tool in the direction of oscillation thereof, particularly with respect to the oscillating phase profile, wherein the bonding apparatus has a voltage sensor for sensing the time/generator voltage profile associated with the ultrasonic transducer and a phase regulator, which is in connection with the sensor or piezo sensor and records the phase difference between the time/generator voltage profile and the sensor signal profile or the speed profile measurement signal by means of a phase comparator and reduces it by means of changing the tool oscillating frequency on the ultrasonic generator to achieve mechanical resonance of the transducer/bonding tool unit, particularly until the phase difference disappears completely.
 6. A method for quality control during ultrasonic bonding, in which a transducer/bonding tool unit and an ultrasonic generator are used and in which, during the bonding, measurement signals for one or more parameters that can vary during the bonding are sensed, in particular for assessing the quality of the bond and/or for influencing the bonding, wherein during the time period of bonding operations, measurement signals for one or more parameters, such as in particular the current intensity and/or voltage at the ultrasonic generator or transducer and/or wire deformation and/or ultrasonic frequency or resonant frequency and/or tool speed, are recorded by means of sensors and are respectively provided as, in particular, a temporal actual profile, in particular are kept in a memory, it is provided in particular that one or more actual profiles for variables derived from the parameter(s) is/are formed from measurement signals for one or more parameters of the bonding process, one or more actual profiles is/are respectively subjected to a computing operation, in particular a comparing operation, with a setpoint profile which is stored in a memory and is associated with the respective actual profile with respect to the parameter thereof or the derived variable thereof, a deviation profile being determined in each case for the actual profiles, in particular by comparison of individual values of actual and setpoint profiles that are temporally associated with one another, and an individual quality index Q_(i) and/or a quality index Q collectively characterizing the quality of an individual bonding operation or individual bonded connection is respectively calculated by means of suitable computational means from one or more deviation profiles and, in particular, is stored and/or used for controlling or regulating subsequent bonding processes.
 7. The method of claim 6, wherein one or more deviation profiles are variably weighted temporally or in their variation or with respect to the various elements of the deviation vector during the calculation.
 8. The method of claim 6, wherein the setpoint profiles are either specifically predetermined or previously determined in a learning phase, particularly according to or by analogy with features of one or of the following claims.
 9. The method according to claim 6, wherein one or more deviation profiles, in particular weighted independently of one another and/or temporally weighted, and/or one or more quality indices Q_(i) and/or the quality index Q is/are used for controlling or regulating a bonding operation in progress at the time and/or subsequently carried out.
 10. A bonding apparatus for the production and quality control of ultrasonic bonded connections, having an ultrasonic generator, a transducer and a bonding tool, in particular a wedge, as well as one or more sensors for sensing measurement signals, in particular in real time, for various parameters that can vary during bonding, such as in particular the current intensity and/or voltage at the ultrasonic generator or transducer and/or wire deformation and/or ultrasonic frequency or resonant frequency and/or tool speed in the direction of oscillation thereof, wherein the bonding apparatus is formed suitably for carrying out the method according to claim 6 and wherein: the bonding apparatus has a signal processing unit (I), which prepares parameter sensor data and, in particular, determines derived variables, such as admittance, impedance, speed or friction, from the parameters, the bonding apparatus has means, which are in particular a component part of the signal processing unit (I), for generating and providing actual profiles of individual parameters and/or variables derived therefrom, the actual profiles being associated with measured values from one or more bonding operations, the bonding apparatus has a memory (IV), in which setpoint profiles for parameters and/or derived variables are stored, the bonding apparatus has an assessment unit (II), which is in connection with the memory (IV) as well as with the sensors and/or the signal processing unit (I) and which determines deviation profiles, and from them individual quality indices Q_(i), for one or more selected parameters and/or derived variables separately from actual profiles and from setpoint profiles of the same parameters or derived variables, and the bonding apparatus has, in particular, a calculating unit (III), which is connected to the assessment unit (II) and which calculates a quality index Q from one or more individual quality indices Q_(i).
 11. The bonding apparatus of claim 10, wherein the assessment unit (II) has means for weighting the deviation profiles in terms of variation during the calculation of the individual quality indices Q_(i).
 12. The bonding apparatus of claim 10, wherein the bonding apparatus has a controlling device or a regulating device for controlling or regulating the bonding process, in that the assessment unit (II) and/or the calculating unit (III) is connected to the controlling device or regulating device of the bonding apparatus for the transmission of data, in particular of deviation profiles weighted independently of one another and/or temporally weighted, and/or of individual quality indices Q_(i) and/or the quality index Q, and in that the controlling unit or regulating unit uses the transmitted data for controlling or regulating the bonding process, in particular for influencing the bonding force and/or the ultrasonic power and/or the bonding time as manipulated variables.
 13. A method for quality control during ultrasonic bonding, in which a transducer/bonding tool unit and an ultrasonic generator are used and in which, during the bonding, measurement signals for one or more parameters that can vary during the bonding are sensed for assessing the quality of the bond and/or for influencing the bonding, wherein a learning phase is carried out for at least one specific bonding reference system, with predetermination of specific settings of the bonding apparatus, in particular associated with the bonding reference system in a database, the learning phase comprising a specific collective of learning bonding operations, during the time period of learning bonding operations, measurement signals for one or more, time-parallel, parameters of the bonding process, such as in particular the current intensity and/or voltage at the ultrasonic generator and/or wire deformation and/or ultrasonic frequency or resonant frequency and/or tool speed in the direction of oscillation, are recorded in each case by means of sensors and are respectively kept in a memory as, in particular, temporal learning profiles, for at least one parameter, the distribution of the probability density or the relative probability of the measurement signal values is determined, in particular using a statistical model, from the collective of the learning bonding operations for points in time or measuring steps that are in each case constant or the same but are different or taken into consideration in the learning profiles, and the maximum value is determined in each case for the respective distributions, in that a characteristic expectation curve is formed from the maximum values of the various distributions and in that the characteristic expectation curve is stored as a learned setpoint profile of the parameter concerned.
 14. The method of claim 13, wherein for the production of bonded connections or during automatic operation for a bonding reference system, the setpoint profiles created for this purpose during a learning phase are provided, during the time period of bonding operations, measurement signals for one or more parameters are recorded in each case by means of sensors and respectively kept in a memory as actual profiles and in that, for at least one or more parameters, a deviation profile is determined from their actual profile and their setpoint profile determined for it in the learning phase.
 15. The method of claim 13, wherein the deviation profile is used for controlling or regulating the bond producing operations (bonding operations) in progress at the time and/or subsequently carried out.
 16. The method of claim 13, wherein a confidence interval or range of variance of a specific magnitude about the distribution maximum is predetermined for the statistical model, in the respective distributions of the probability density and the relative probability the values at the lower interval boundary and/or upper interval boundary are determined by means of the confidence interval or the range of variance, a lower characteristic boundary curve is formed from the values of the lower interval boundary and/or an upper characteristic boundary curve is formed from the values of the upper interval boundary, and actual profiles determined during the production of bonded connections are compared with the lower and/or upper characteristic boundary curve.
 17. The method of claim 13, wherein setpoint profiles for derived parameters are determined in the learning phase from the measurement signals for parameters or from expectation profiles, in that, during the production of bonded connections, actual profiles for the derived parameters are determined from the measurement signals or from actual profiles of measurement signals and in that deviation profiles are determined from setpoint profiles and actual profiles associated with one another for derived parameters.
 18. The method of claim 13, wherein one or more setpoint profiles are used according to a method for quality control during ultrasonic bonding, in which a transducer/bonding tool unit and an ultrasonic generator are used and in which, during the bonding, measurement signals for one or more parameters that can vary during the bonding are sensed, in particular for assessing the quality of the bond and/or for influencing the bonding, wherein during the time period of bonding operations, measurement signals for one or more parameters, such as in particular the current intensity and/or voltage at the ultrasonic generator or transducer and/or wire deformation and/or ultrasonic frequency or resonant frequency and/or tool speed, are recorded by means of sensors and are respectively provided as, in particular, a temporal actual profile, in particular are kept in a memory, it is provided in particular that one or more actual profiles for variables derived from the parameter(s) is/are formed from measurement signals for one or more parameters of the bonding process, one or more actual profiles is/are respectively subjected to a computing operation, in particular a comparing operation, with a setpoint profile which is stored in a memory and is associated with the respective actual profile with respect to the parameter thereof or the derived variable thereof, a deviation profile being determined in each case for the actual profiles, in particular by comparison of individual values of actual and setpoint profiles that are temporally associated with one another and an individual quality index Q_(i) and/or a quality index Q collectively characterizing the quality of an individual bonding operation or individual bonded connection is respectively calculated by means of suitable computational means from one or more deviation profiles and, in particular, is stored and/or used for controlling or regulating subsequent bonding processes.
 19. A method for quality control during ultrasonic bonding, in particular ultrasonic wire bonding, in which a transducer/bonding tool unit and an ultrasonic generator are used and in which, during the bonding, measurement signals for a number of parameters that can vary during the bonding are sensed, particularly for controlling the quality of the bond and/or for influencing the bonding, wherein during the time period of bonding operations, measurement signals for a number of parameters, such as particularly the current intensity and/or voltage at the ultrasonic generator or transducer and/or wire deformation and/or ultrasonic frequency or resonant frequency and/or tool speed, are recorded by means of sensors and are respectively provided as actual profiles, particularly stored in a memory, it is being provided in particular that one or more actual profiles for variables derived from the parameter(s) is/are formed from measurement signals for one or more parameters of the bonding process, a number of actual profiles are respectively subjected to a comparing or computing operation with a setpoint profile which is stored in a memory and is associated with the respective actual profile with respect to the parameter or the derived variable, a deviation profile being determined in each case for the actual profiles, particularly by comparison of individual values that are temporally associated with one another, an individual quality index is respectively calculated by means of suitable computational means from deviation profiles, and a plurality of individual quality indices, at least of one bonded connection, are compared as a bond index group with a number of different memory index groups stored in a memory, particularly in an expert system, which differ from one another by the values of the individual quality indices associated with specific parameters or derived variables, using at least one predetermined similarity criterion, and, if at least one similarity criterion is satisfied, are associated with a memory index group.
 20. The method of claim 19, wherein when a similarity criterion for a memory index group is satisfied, a classification signal, particularly an electrical classification signal, is automatically generated, causing information to be output and/or being used for controlling or regulating a bonding apparatus, and it being provided in particular that different data concerning the operating state of a bonding apparatus, particularly concerning different error states, are respectively associated with different memory index groups in a memory and in that the generated classification signal or error classification signal causes the output of information concerning this operating state or error state.
 21. The method of claim 19, wherein the individual quality indices Q_(i) and/or the quality index Q and/or classification signals of bonded connections produced during bonding operation are analyzed for maverick bonds by means of a monitoring device performing computing operations, with consideration for known relationships and statistics, in that the group of individual quality indices belonging to a maverick bond are stored in a memory as a new memory index group and are combined with data concerning the operating state or error state, in that, from the maverick bond, measurement signals, particularly actual profiles, are converted statistically into derived variables by means of computational means and in that actual profiles formed from parameters and from modified variables are investigated, in accordance with predetermined computing algorithms, for significant features and in that derived parameters and/or variables for which significant features have been established are used during subsequent bonding processes in the calculation of the quality index.
 22. The method of claim 19, wherein with predetermined deviations between bond index groups and memory index groups, signals, particularly electrical signals, are automatically generated and used, in particular in real time, for controlling or regulating the bonding operations in progress at the time and/or carried out subsequently.
 23. The method of claim 19 carried out in an automated manner after setting and/or maintenance work on a bonding apparatus.
 24. A bonding apparatus for the production and quality control of ultrasonic bonded connections, having an ultrasonic generator, a transducer and a bonding tool, in particular a wedge, as well as one or more sensors for sensing measurement signals, in particular in real time, for various parameters that can vary during bonding, such as in particular the current intensity and/or voltage at the ultrasonic generator or transducer and/or wire deformation and/or ultrasonic frequency or resonant frequency and/or tool speed in the direction of oscillation thereof, wherein the bonding apparatus has means, particularly comprising a computer with software, which is suitable for carrying out a method according to one or more of the preceding method claims, or is adapted for carrying it out, the bonding apparatus has components of a bonding apparatus according to claim 10 the assessment unit (II) is suitable or adapted for combining individual quality indices Q_(i) to form bond index groups, the bonding apparatus has a memory in which memory index groups and data separately combined with the latter, particularly data concerning specific operating states of the bonding apparatus and particularly data concerning causes of error, are stored, and the apparatus comprises a classification module, which has a comparison module, which is suitable or adapted for a comparative association of bond index groups with memory index groups using predetermined similarity criteria and for an output of the data or information combined in a memory with such memory index groups that satisfy at least one similarity criterion, in particular by means of software suitable for the purpose.
 25. The bonding apparatus of claim 24, wherein the bonding apparatus comprises a monitoring unit, which has a comparison module, which is adapted for a comparison of bond index groups with memory index groups, particularly by means of suitable software and using similarity criteria, for the detection of maverick bond index groups that do not satisfy any similarity criteria, or only specific similarity criteria and in that the monitoring unit is connected to the assessment unit (II) and/or the calculating device (III) for providing negative feedback of the results into the quality calculation.
 26. The bonding apparatus of claim 24, wherein for retroactively influencing, in particular in real time, the bonding operation in progress at the time or bonding operations subsequently carried out, the assessment unit (II) and/or the calculating device (III) and/or the classification module is connected for signal or data transmission to a controlling device or regulating device of the bonding apparatus which acts on one or more manipulated variables, particularly on the bonding force and/or the ultrasonic power and/or the bonding time. 